Helping you design and create machines is what drives us. Our mission is to continue advancing engineering software you need in order to make exceptional products.
The main purpose of the Users Conference is to allow participants to exchange technology, and we would like it to be a place where everyone is brought closer together to share the vision of a brighter future for device manufacturing.
We hope you enjoy the exhibitions and technical discussions by JMAG’s technical partners.
Exhibitors
Partner seminar

Automated Motor Design and Development Process with JMAG-Designer and AI Agents
As the demand for motor design increases in line with the acceleration of electrification, there is a growing shortage of designers and a demand for shorter development times. To address these issues, we are working on the development of a ‘Motor Design Agent’ using our proprietary generative AI technology.
In this presentation, we will present an automated motor design and development process with JMAG-Designer and AI Agents. The AI Agent works with JMAG-Designer to automatically perform tasks from idea generation, CAD model creation, analysis condition setting, design optimization and result evaluation.
The Motor Design AI Agent is not a tool that derives a single solution, but rather an agent that helps design engineers be more creative. This technology enables faster and longer-term verification than humans and increases the possibility of discovering innovative shapes. In addition, the complete automation of the design process is expected to significantly reduce design development time.

Smart Motor Control Technology Evolving with AI – Virtual Sensor and Fault Detection
New solutions utilizing AI technology with MATLAB and Simulink will help us further improve the efficiency and reliability of motor control systems. Combining AI with conventional control methods opens new options to improve system utilization and competitiveness, and MATLAB and Simulink enable efficient simulation and verification, lowering the hurdles to technology adoption.
In this session, the construction flow of virtual sensor using neural networks and fault detection using machine learning algorithms will be explained. We will also share the key points of using JMAG-RT to build AI models with large amounts of data.

Introduction of Power, Vibration and System Design Upstream Electric Motor Development Through 1D CAE
In motor design, it is common to reuse previous shapes and characteristics to shorten development times. In addition, with the expansion of machine learning, development processes that automate and optimize design are being adopted. However, rework due to problems with motor performance and vibration is also an issue. In this presentation, NWC will introduce the following:
- A method for considering power and thermal performance using 1D tools at the concept design stage.
- System analysis including motor excitation forces due to electromagnetic forces and torque ripple.
- System analysis example applying a motor model to an electric vehicle.

Design and Analysis of Motors Considering Driving Modes Using Vehicle Thermal Management Models: Applications in Motor Research at Universities
Introducing an example of motor design taking into account the driving mode by utilizing the vehicle model of the energy and thermal management 1D-CAE tool KULI.
In motor design, there is a need for an approach that takes a bird’s-eye view of the entire vehicle, instead of the conventional single component optimization.
This presentation will explain how motor efficiency improvements can be achieved by utilizing JMAG and KULI vehicle models.
In addition, specific application methods and research results will be shared through demonstration cases at universities, and the potential for practical applications will be discussed.

Vibration Analysis for Motor Designers
CAE simulation is now widely used to solve motor NVH problems. However, the simulation requires time-consuming modelling and analysis process, which makes it difficult to perform in the early design phase. In this presentation, we will introduce easy modelling and analysis of motor NVH, using existing JMAG model and Romax, which can be performed by motor designers.

Intuitive JMAG Job Scheduling Web Portal Solution
Job scheduling solutions have become more common as a way to facilitate efficient use of shared systems by multiple users. Standard job scheduling tools generally require Linux commands, but many users are unfamiliar with these commands and feel hesitant about using Linux. This seminar introduces a web portal that enables users unacquainted with Linux to intuitively schedule jobs. We will also provide a real demonstration of this web portal in action using JMAG.

Introduction of New Products for Motor Inverter Test and Measurement Examples
Yokogawa Test & Measurement has released new products WT1800R series High-Performance Power Analyzer, DLM3000HD Series High-Definition Oscilloscope, 702921 / 702922 PBDH0400 Differential Probe, and CT1000S AC/DC Split Core Current Sensor for evaluating motor inverter efficiency and switching waveforms. In this session, we will introduce an overview of these products and show measurement results using them in SiC / GaN inverter and motor test bench.

AI and PIDO Integration – Fast Non-Parametric Shape Optimization
In this presentation, we will introduce our study of fast nonparametric shape optimization using shape generative AI.
Non-parametric shape optimization is expected to provide flexible ideas for shape optimization that are not possible with conventional parametric optimization. In addition, the integrate between JMAG and the PIDO tool, JMAG is efficiently executed, and surrogate AI models are created to achieve higher speed.